Chronic Pain Trial and Missing Data
View Presentation *Yongman Kim, FDA Keywords: chronic pain trial, missing data, continuous responder analysis, two-part model analysis A chronic pain trial setting is considered in order to gain insight into the handling of missing data due to patient dropout. When analyzing chronic pain data, a landmark analysis at the study endpoint is considered clinically more relevant than an area-under-the-pain-curve (AUC)-type analysis. Methods that do not assign good scores to missing values due to bad outcome should be used when imputation for missing data is intended. Alternative methods with no explicit imputation are introduced with examples - continuous responder analysis and two-part model analysis - and pros and cons of these methods are discussed.
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Key Dates
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April 30 - May 22, 2013
Invited Abstract Submission Open -
June 4, 2013
Online Registration Opens -
August 9 - August 23, 2013
Invited Abstract Editing -
August 23, 2013
Short Course materials due from Instructors -
August 26, 2013
Housing Deadline -
September 9, 2013
Cancellation Deadline and Registration Closes @ 11:59 pm EDT -
September 16 - September 18, 2013
Marriott Wardman Park, Washington, DC